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William D'Amico 0001

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affiliation: Politecnico di Milano, Milano, Italy

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Journal Articles

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2024
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William D'Amico, Alessio La Bella, Marcello Farina:
An Incremental Input-to-State Stability Condition for a Class of Recurrent Neural Networks. IEEE Trans. Autom. Control. 69(4): 2221-2236 (2024)
2023
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William D'Amico, Marcello Farina:
Virtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membership. Autom. 157: 111228 (2023)
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William D'Amico, Andrea Bisoffi, Marcello Farina:
Data-Based Control Design for Output-Error Linear Discrete-Time Systems With Probabilistic Stability Guarantees. IEEE Control. Syst. Lett. 7: 2035-2040 (2023)

Conference and Workshop Papers

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2022
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William D'Amico, Marcello Farina:
Data-based control design for linear discrete-time systems with robust stability guarantees. CDC 2022: 1429-1434
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William D'Amico, Marcello Farina, Giulio Panzani:
Recurrent Neural Network controllers learned using Virtual Reference Feedback Tuning with application to an Electronic Throttle Body. ECC 2022: 2137-2142

Informal and Other Publications

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2022
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William D'Amico, Marcello Farina:
Virtual Reference Feedback Tuning for linear discrete-time systems with robust stability guarantees based on Set Membership. CoRR abs/2203.00088 (2022)
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  - journals/corr/abs-2210-09721
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William D'Amico, Alessio La Bella, Marcello Farina:
An incremental input-to-state stability condition for a generic class of recurrent neural networks. CoRR abs/2210.09721 (2022)
2021
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  - journals/corr/abs-2103-02567
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William D'Amico, Marcello Farina, Giulio Panzani:
Advanced control based on Recurrent Neural Networks learned using Virtual Reference Feedback Tuning and application to an Electronic Throttle Body (with supplementary material). CoRR abs/2103.02567 (2021)

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